ID-IRC : 2314090762
IDRISSI NAJLAE
Professeur d’enseignement supérieur
Spécialité : Informatique
Faculté des Sciences et Techniques de Béni Mellal
Domaine de Maîtrise :
Nouvelles Technologies, Ingénierie, Systèmes d’Information et IA
Domaine d’intérêt :
Sciences Humaines, Sociales, Juridiques et Economiques, Nouvelles Technologies, Ingénierie, Systèmes d’Information et IA
Les publications :
- Split and Merge-Based Breast Cancer Segmentation and Classification
-Segmentation of Pectoral Muscle in Mammogram Images Using Gaussian Mixture Model-Expectation Maximization
- Segmentation of Pectoral Muscle in Mammogram Images Using Gaussian Mixture Model-Expectation Maximization
- CERVICAL CANCER DETECTION AND CLASSIFICATION USING MRIS
- A Deep Convolutional Neural Networks for the Detection of Cervical Cancer Using MRIs
- Segmentation of Pectoral Muscle in Mammogram Images using K-means and Region Growing
- Segmentation and Classification of Cervical Cancer
- Segmentation and Classification of Microcalcifications Using Digital Mammograms
- Segmentation of Pectoral Muscle in Mammogram Images Using Gaussian Mixture Model-Expectation Maximization
- Split and Merge-Based Breast Cancer Segmentation and Classification
- Breast cancer image segmentation and classification
- Markovian Segmentation of Brain Tumor MRI Images
- A Hybrid Segmentation Approach for Brain Tumor Extraction and Detection
- New method of multispectral image fusion: application to the segmentation of brain tumor MRI images.